Haptic Control Interface for Detecting Content Features Using Machine Learning to Induce Haptic Effects

1. A method, comprising: receiving, by a content-agnostic, cloud-based haptic control interface remotely interfacing each of a content source and a haptic enabled device of a client device, a portion of content; processing, by the haptic control interface, the portion of content using a machine learning algorithm to detect a feature of the content; querying, by the haptic control interface, a library of haptic effects using the feature of the content to determine one or more haptic effects predefined for the feature in the library; causing, by the haptic control interface, the haptic enabled device to exhibit the one or more haptic effects determined for the feature.

2. The method of claim 1 , wherein the content is a video game.

3. The method of claim 1 , wherein the content is a movie.

4. The method of claim 1 , wherein the portion of content is a video segment.

5. The method of claim 1 , wherein the portion of content is an audio segment.

6. The method of claim 1 , wherein the content source is configured to provide the portion of content to the haptic control interface.

7. The method of claim 1 , wherein the haptic control interface intercepts the portion of content output by the content source.

8. The method of claim 1 , wherein the machine learning algorithm is initially trained using training data, the training data providing a predefined correlation between characteristics of content and particular features.

9. The method of claim 1 , wherein the feature is an event within the content.

10. The method of claim 1 , wherein the machine learning algorithm is trained to detect a feature of the content based on a context of the content.

11. The method of claim 10 , wherein the context of the content is a type or genre of the content.

12. The method of claim 1 , wherein the one or more haptic effects are determined for a particular haptic motor of the haptic enabled device.

13. The method of claim 1 , wherein the haptic enabled device is a remote controller.

14. The method of claim 1 , wherein the haptic enabled device is headphones.

15. The method of claim 1 , wherein causing the haptic enabled device to exhibit the one or more haptic effects determined for the feature includes sending a haptic command or signal to a haptic motor of the haptic enabled device.

16. A system, comprising: a processor executing a content-agnostic, cloud-based haptic control interface, wherein the haptic control interface remotely interfaces a content source and a haptic enabled device of a client device, and wherein the haptic control interface is executed to perform a method comprising: receiving a portion of content; processing the portion of content using a machine learning algorithm to detect a feature of the content; querying a library of haptic effects using the feature of the content to determine one or more haptic effects predefined for the feature in the library; causing the haptic enabled device to exhibit the one or more haptic effects determined for the feature.

17. The system of claim 16 , wherein the portion of the content is one of a video segment or an audio segment.

18. The system of claim 16 , wherein the feature is an event within the content.

19. A non-transitory computer-readable media storing computer instructions which when executed by one or more processors cause the one or more processors to perform a method comprising: receiving, by a content-agnostic, cloud-based haptic control interface remotely interfacing each of a content source and a haptic enabled device of a client device, a portion of content; processing, by the haptic control interface, the portion of content using a machine learning algorithm to detect a feature of the content; querying, by the haptic control interface, a library of haptic effects using the feature of the content to determine one or more haptic effects predefined for the feature in the library; causing, by the haptic control interface, the haptic enabled device to exhibit the one or more haptic effects determined for the feature.

20. The method of claim 1 , wherein the haptic control interface is configured to cause haptic effects in a plurality of different haptic enabled devices for a plurality of different pieces of content provided by a plurality of different content sources.

21. The method of claim 1 , wherein the machine learning algorithm processes the portion of content to detect the feature of the content, based on a genre of the content.